Zongchen Chen
Orcid: 0009-0003-6112-2888
  According to our database1,
  Zongchen Chen
  authored at least 37 papers
  between 2015 and 2025.
  
  
Collaborative distances:
Collaborative distances:
Timeline
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On csauthors.net:
Bibliography
  2025
    Proceedings of the 57th Annual ACM Symposium on Theory of Computing, 2025
    
  
    Proceedings of the 57th Annual ACM Symposium on Theory of Computing, 2025
    
  
    Proceedings of the Approximation, 2025
    
  
  2024
Fast Sampling of Satisfying Assignments from Random \(\boldsymbol{k}\)-SAT with Applications to Connectivity.
    
  
    SIAM J. Discret. Math., 2024
    
  
    CoRR, 2024
    
  
On the Low-Temperature MCMC threshold: the cases of sparse tensor PCA, sparse regression, and a geometric rule.
    
  
    CoRR, 2024
    
  
    Proceedings of the 2024 ACM-SIAM Symposium on Discrete Algorithms, 2024
    
  
    Proceedings of the 2024 ACM-SIAM Symposium on Discrete Algorithms, 2024
    
  
    Proceedings of the 15th Innovations in Theoretical Computer Science Conference, 2024
    
  
  2023
    Proceedings of the 2023 ACM-SIAM Symposium on Discrete Algorithms, 2023
    
  
From Algorithms to Connectivity and Back: Finding a Giant Component in Random <i>k</i>-SAT.
    
  
    Proceedings of the 2023 ACM-SIAM Symposium on Discrete Algorithms, 2023
    
  
    Proceedings of the 64th IEEE Annual Symposium on Foundations of Computer Science, 2023
    
  
Complexity of High-Dimensional Identity Testing with Coordinate Conditional Sampling.
    
  
    Proceedings of the Thirty Sixth Annual Conference on Learning Theory, 2023
    
  
  2022
    CoRR, 2022
    
  
    CoRR, 2022
    
  
Sampling Colorings and Independent Sets of Random Regular Bipartite Graphs in the Non-Uniqueness Region.
    
  
    Proceedings of the 2022 ACM-SIAM Symposium on Discrete Algorithms, 2022
    
  
On Mixing of Markov Chains: Coupling, Spectral Independence, and Entropy Factorization.
    
  
    Proceedings of the 2022 ACM-SIAM Symposium on Discrete Algorithms, 2022
    
  
  2021
    PhD thesis, 2021
    
  
Optimal mixing of Glauber dynamics: entropy factorization via high-dimensional expansion.
    
  
    Proceedings of the STOC '21: 53rd Annual ACM SIGACT Symposium on Theory of Computing, 2021
    
  
    Proceedings of the 2021 ACM-SIAM Symposium on Discrete Algorithms, 2021
    
  
    Proceedings of the 62nd IEEE Annual Symposium on Foundations of Computer Science, 2021
    
  
  2020
    Proceedings of the 61st IEEE Annual Symposium on Foundations of Computer Science, 2020
    
  
    Proceedings of the Conference on Learning Theory, 2020
    
  
  2019
Lower bounds for testing graphical models: colorings and antiferromagnetic Ising models.
    
  
    Proceedings of the Conference on Learning Theory, 2019
    
  
Optimal Convergence Rate of Hamiltonian Monte Carlo for Strongly Logconcave Distributions.
    
  
    Proceedings of the Approximation, 2019
    
  
    Proceedings of the Approximation, 2019
    
  
  2018
    Comput. Networks, 2018
    
  
    Proceedings of the Approximation, 2018
    
  
    Proceedings of the Algorithmic Learning Theory, 2018
    
  
  2017
  2015
    Proceedings of the 2015 IEEE International Conference on Communications, 2015